Architecture optimization of a non-linear autoregressive neural networks for mackey-glass time series prediction using discrete mycorrhiza optimization algorithm

HIGHLIGHTS

• who: Hector Carreon-Ortiz and collaborators from the Tijuana Institute of Technology, TecNM, Tijuana, Mexico have published the article: Architecture Optimization of a Non-Linear Autoregressive Neural Networks for Mackey-Glass Time Series Prediction Using Discrete Mycorrhiza Optimization Algorithm, in the Journal: Micromachines 2023, 149 of /2023/
• what: A total of 49 different architectures were designed, of which 10 non-optimized and 39 were optimized by the DMOA algorithm, 30,000 experiments were performed with the non-optimized architectures, and approximately 110,000 experiments were performed with the optimized architectures.
• how: The authors . . .
  

   

  

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